Top Remote Tech Jobs

Associate attorney representing domestic and international insurers in complex insurance coverage disputes and litigation. Responsibilities include developing litigation strategy, researching and analyzing legal issues and policies, drafting coverage opinions, pleadings, briefs, memoranda, and correspondence, participating in depositions, mediations, arbitrations, and settlements, and interacting with clients. The role requires strong writing, communication, organization, judgment, and the ability to manage multiple matters independently.

Designs intuitive, scalable product experiences for complex, multi-step workflows. Translates user and business requirements into interactive prototypes, reusable design solutions, and engineering-ready specifications in Figma. Collaborates with product managers, engineers, and global stakeholders throughout implementation while applying accessibility, responsive design, design systems, and usability principles.

Lead CluePoints’ alliance and channel strategy across technology partners, systems integrators, consultancies, and regional resellers. Build partner-sourced revenue, develop channel programs, enable partners, manage complex commercial relationships, and collaborate with Sales, Marketing, Product, and Services. The role will establish partnerships in markets including Japan, India, and Europe, while eventually building and leading a partnerships team.

Software Engineering Intern supporting frontend and backend web development, software feature implementation, research, testing, and collaboration with experienced developers. The role emphasizes learning, problem-solving, Git-based workflows, and contributing to real software projects. Candidates should have foundational HTML, CSS, and JavaScript knowledge, Git familiarity, a completed relevant bachelor's degree, U.S. work authorization, reliable internet, and a personal computer.

Provide empathetic, timely support to customers, resolve inquiries and issues, document interactions, and escalate complex problems to appropriate teams.

Leads the Salesforce ecosystem, web applications, and Oracle ERP integrations across global sales, service, and manufacturing operations. Owns business systems strategy, roadmap, governance, support service levels, projects, vendors, security, compliance, data quality, automation, and AI adoption. Partners with business stakeholders, oversees system development and deployment, manages application support escalations, and leads business systems analysts, administrators, developers, and external service providers.

Build and lead the studio project management office for complex robotics data-collection projects. Own projects from scoping through delivery, including plans, budgets, capacity, risks, and deadlines. Coordinate hardware, engineering, operations, and partner teams, remove blockers, establish portfolio reviews and escalation paths, and report status to studio leadership. Hire, coach, and manage project managers while translating ambiguous customer requirements into structured delivery plans.

Leads corporate FP&A, including budgeting, forecasting, long-range planning, SG&A and cost accounting, business intelligence, commercial finance, pricing, cash flow forecasting, and M&A diligence and integration. Partners with executive leadership and cross-functional teams to deliver financial reporting, strategic analysis, performance metrics, and board materials while developing the FP&A team and improving financial systems and processes.

Build four documented Python and Jupyter cookbook recipes demonstrating Arango use cases, including LLM, RAG, embeddings, vector search, and graph database applications. Select use cases, explain business value, develop working code, incorporate engineer feedback, and publish contributions to GitHub. Collaborate remotely with a distributed product and engineering team.

Create, solve, review, and validate coding-heavy machine learning tasks for AI training. Build and optimize models, training and inference workflows, data pipelines, evaluation systems, and reproducible Python workflows. Diagnose numerical and system-level failures, improve memory use and throughput, and verify technical correctness while working with coding agents.